GCP Data Engineer

Job Description

Description – Data Engineer_GCP

Key Responsibilities

· Design, build, and optimise batch and streaming data pipelines using approved frameworks and tooling.

· Ensure pipelines are resilient, performant, and cost optimised.

· Implement monitoring, alerting, and automated recovery processes.

· Apply data quality checks and reconciliation processes to ensure accuracy and completeness.

· Maintain metadata, lineage, and documentation to support governance requirements.

· Adhere to role-based access control, data privacy, and security standards.

· Contribute to the development and maintenance of ingestion frameworks, transformation layers, and data models.

· Implement and maintain CI/CD pipelines for automated testing and deployment.

· Optimise data storage and retrieval strategies to meet performance needs.

· Work closely with Technical Leads, Data Architects, Analysts, and business stakeholders to deliver fit-for-purpose solutions.

· Participate in code reviews and knowledge-sharing sessions to improve team capability.

· Explore and adopt new tools, frameworks, and techniques to enhance engineering capability.

· Identify opportunities to automate and streamline workflows.

Key Skills & Experience

· Proficient in SQL for data wrangling, transformation, and analysis

· Strong programming skills

· Experience building ETL/ELT pipelines in cloud or distributed environments

· Familiarity with cloud platforms and services

· Knowledge of data modeling concepts

· Experience with data orchestration tools

· Familiar with version control and CI/CD pipelines

· Understanding of data quality, validation, and observability practices

· Works independently with minimal supervision on well-scoped tasks

· Collaborates effectively with stakeholders

· Communicates clearly and documents work for others to maintain or build upon

· Open to code reviews, feedback, and continuous learning

· Able to troubleshoot and resolve data pipeline failures or performance issues

· 2–4 years in a data engineering or closely related role

· Has delivered production-ready pipelines end-to-end

· Demonstrated ability to improve code quality, reliability, or performance